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McKinsey and Company Inc. US is seeking a Senior Cloud Infrastructure Engineer in Atlanta, GA.McKinsey and Company Inc. US is seeking a Senior Cloud Infrastructure Engineer in Atlanta, GA.Design and implement CI/CD pipelines that automates the provision of infrastructure related to container orchestration systems like EKS by deploying infrastructure-as-a-code templates using Terraform, GitHub Actions and CircleCI. Manage lifecycle including creation, operation, upgradation, and deletion for different types of Kubernetes clusters including EKS in AWS, Kubeadm, and On-Prem using Terraform, GitHub Actions, and AWS Service Catalog. Collaborate with product teams in developing, testing, and deploying software that automates the provisioning infrastructure for Kubernetes related resources using Programming languages such as Golang, or Python. Design and implement GitOps workflow that automatically deploy all applications to Kubernetes clusters using tools such as ArgoCD, GitHub, and Helm Charts. Create automated workflows that provisions computing infrastructure for AI/ML related workloads in AWS using GitHub Actions and NVIDIAs GPU operator. Develop Observability framework and runbook automation for various infrastructure components related to Kubernetes workloads and AWS resources. Define and maintain performance metrics such as SLIs, SLOs for platform infrastructure coordinating with other stake holders using tools such as Dynatrace. Develop the instrumentation framework for platform infrastructure including logging and monitoring using tools such as Dynatrace, Splunk, and Prometheus.Design and implement solutions that eliminates the toil for secrets management, and rotation, and sync across different platforms such as Vault, AWS Secrets Manager and Kubernetes clusters using Golang, ArgoCD and GitHub Actions. Develop alerting framework for platform infrastructure using tools such as Dynatrace and Victor-Ops to create alerts and dashboards that reduces incidents and outages. Maintain the security compliance by automating the patching cycle for cloud infrastructure using Bash scripts, Python and others as per the standards set in tools such as Wiz. Solve production availability incidents for platform infrastructure that often spars across multiple teams, document incident root cause analysis, and create solutions to prevent re-occurrence. Provide cost optimizing solutions for cloud infrastructure using tools such as cloudability and create automation scripts using programming languages such as Bash scripts, Python or Golang. Collaborate with SRE and product teams to work on sprints, project tasks in agile manner. Telecommuting permitted.

Qualified applicants for this position must possess aMaster's degree or foreign degree equivalent and three (3) years of experience in Kubernetesadministration and lifecycle management; OR a bachelors degree or foreign degree equivalent and five (5) years of experience in Kubernetes administration and lifecycle management. Experience must include: IaC languages: Terraform or Cloud Formation; Proficiency in programming languages: Golang or Python; knowledge of AWS cloud infrastructure: CI/CD tooling and version control: CircleCI, GitHub Actions, and Github; GitOps deployment workflow and tools such as Flux or ArgoCD; using at least one of the following monitoring, security alerting, and data analytics tools: Aqua, Splunk, Prometheus, Grafana, NewRelic, or Dynatrace; Networking knowledge: load balancing, network security, and standard network protocols; Participation in product lifecycle process, including contributing to or creating product and technical requirements at enterprise level and preparing detailed design documents including security, transaction, capacity and bandwidth models, systems definition and operational procedures; Familiarity with agile concepts and working experience in agile team culture.Email your resume to CO@mckinsey.com and refer to Job # 8070709.

Worksite: 725 Po ce de Leon Avenue, Suite 700, Atlanta, Georgia 30306?

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